Segmentation strategy of handwritten connected digits (SSHCD)

Authors:
Abdeldjalil Gattal;Youcef Chibani
Affiliations:
Université de Tébessa and Ecole Nationale Supérieure d'Informatique, Oued Smar, Algeria;Laboratoire de Communication Parlée et Traitement des Signal, University of Sciences and Technology Houari Boumedienne, Algiers, Algeria
Venue:
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Year:
2011

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Abstract

The hand written digit segmentation is the most important module for hand written digit recognition, which constitutes a difficult task because of overlapping and / or connected of adjacent digits. To resolve this problem, several segmentation methods have been developed each one having its advantage and disadvantage. In this work, we propose a segmentation approach depending of the configuration link between digits. With the help of a few rules, multiple hypotheses are defined for finding the best segmentation path in order to separate two connected digits. Hence, a verification strategy is proposed in order to generate all possible segmentation-recognition hypotheses. The performance of our strategy is evaluated in terms of correct recognition rates using the confusion matrix.